论文标题
错误语法意识到反馈评论生成数据集的增强
Error syntax aware augmentation of feedback comment generation dataset
论文作者
论文摘要
本文介绍了Genchal 2022共享任务的解决方案，该任务专门用于编写学习的反馈评论。就此任务而言，有一个错误和错误的错误，系统会产生一个解释性注释，该说明有助于作者（语言学习者）提高其写作技巧。我们的解决方案基于根据指示误差跨度内的单词的句法依赖性增强的初始数据集上的微调T5模型。我们团队“ Nigula”的解决方案根据组织者的手动评估获得了第二名。
This paper presents a solution to the GenChal 2022 shared task dedicated to feedback comment generation for writing learning. In terms of this task given a text with an error and a span of the error, a system generates an explanatory note that helps the writer (language learner) to improve their writing skills. Our solution is based on fine-tuning the T5 model on the initial dataset augmented according to syntactical dependencies of the words located within indicated error span. The solution of our team "nigula" obtained second place according to manual evaluation by the organizers.
